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Keywords: adherence; DAA; drug use; HCV; PWID EN adherence DAA drug use HCV PWID 172 175 4 01/19/23 20230201 NES 230201 Abbreviations DAA direct-acting antiviral DTF daily time frame GT groups therapy HCV hepatitis C infection mDOT modified directly observed therapy OTP opioid treatment program PWID people who inject drugs SIT standard individual therapy SVR sustained virologic response INTRODUCTION Direct-acting antiviral (DAA) therapies are more effective for treating hepatitis C virus (HCV) with higher rates of sustained virologic response (SVR) and fewer side effects than older interferon-based treatments.[1] DAAs are effective even among people who inject drugs (PWID),[2] a population disproportionately infected by HCV.[3] Nonetheless, adequate adherence is crucial for PWID living with HCV to achieve SVR and reduce transmission, a public health goal which has been prioritized for global efforts to eliminate HCV by 2030.[4] How ongoing drug use interferes with HCV treatment adherence support remains unknown.[[5]] The PREVAIL study[2] was conducted in opioid treatment program (OTP) settings to test the effectiveness of three models of HCV care for PWID. Hepatitis C virus direct-acting antiviral treatment adherence patterns and sustained viral response among people who inject drugs treated in opioid agonist therapy programs. [Extracted from the article]

People who inject drugs (PWID) are a vulnerable population at high risk for acquiring hepatitis C virus (HCV) and frequently suffer from comorbid alcohol use. This study examines the characteristics and correlates of alcohol use among study participants, the association between alcohol consumption and sustained virologic response (SVR) in patients receiving HCV treatment, changes in drinking behaviours during HCV treatment and associations of drinking over time with specific models of HCV treatment. Participants were 150 PWID with HCV who were receiving opioid agonist therapy (OAT) and enrolled in a randomized clinical trial exploring the effectiveness of three models of care for HCV treatment. The addiction severity index was the primary measure of alcohol consumption. Days of alcohol intake were evaluated longitudinally and across three treatment groups. At baseline, 31% (47/150) reported having at least one drink in the last 30 days including 24% (36/150) who reported drinking to intoxication in the last 30 days. There was no difference in SVR rates between groups. There was a significant decrease in overall days of drinking from baseline (7.78 ± 7.86) to followup at Week 24 (5.78 ± 8.83) (p = 0.041), but there were no significant changes among those who drank to intoxication; modified directly observed therapy (mDOT) was the only group with a significant decline in days of alcohol consumption (p = 0.041). In this cohort of PWID on OAT, baseline alcohol consumption did not affect SVR rates. HCV treatment was overall associated with decreased alcohol consumption. In particular, mDOT was associated with decreased alcohol consumption. Given the additive effect of alcohol and HCV on the development of cirrhosis, studies should be done to investigate the complimentary effects of the mDOT model of care on alcohol cessation. [ABSTRACT FROM AUTHOR]

Objective: A previous report from our group identified directionally unfavorable dietary and lifestyle behavior trends in longitudinally monitored children and adolescents with obesity early in the COVID‐19 pandemic lockdown. The current study aimed at extending these previous observations in youths with obesity on the dietary and lifestyle behavioral consequences of the extended COVID‐19 lockdown in Verona, Italy. Methods: The sample included 32 children and adolescents with obesity participating in the longitudinal OBELIX study. Diet and lifestyle information were collected pre‐pandemic, 3 weeks into the national lockdown, and 9 months later when home confinement continued to be mandatory. Changes in outcomes over the study time points were evaluated for significance using repeated‐measures ANOVA and post‐hoc pairwise t‐tests with Bonferroni corrections. Results: As previously reported, meals/day, fried potato intake, and red meat ingestion increased significantly (p < 0.001) during the initial lockdown. Sleep time and screen time increased and sports participation decreased significantly (p < 0.001) during the initial lockdown. These changes in health behaviors remained significantly different from baseline at the second lockdown assessment, with the exception sleep time returned to baseline levels. Conclusions: Unfavorable diet and lifestyle behavioral changes in response to the initial COVID‐19 lockdown in children and adolescents with obesity have largely been sustained over the course of the pandemic. There is an urgent need to intervene on these behaviors to prevent further deleterious effects on long‐term child health; access to weight management care is critically important for these children. In addition to intervening on these behaviors, our findings should help to inform ongoing lockdown policies. [ABSTRACT FROM AUTHOR]

Adequate adherence to direct‐acting antivirals (DAAs) for hepatitis C virus (HCV) is critical to attaining sustained virologic response (SVR). In this PREVAIL study's secondary analyses, we explored the association between self‐reported and objective DAAs adherence among a sample of people who inject drugs (PWID) receiving medications for opioid use disorder (MOUD) (N = 147). Self‐reported adherence was recoded 3 times during treatment (weeks 4, 8 and 12) using a visual analog scale (VAS), whereas objective adherence was collected continuously during treatment using electronic blister packs. Participants who reported being perfectly adherent had significantly higher blister pack adherence in each period (weeks 4, 8 and 12; ps <.05) and over the 12‐week study (p <.001) compared to those who reported being non‐perfectly adherent. Whites were more likely to report perfect adherence (91.7%) than Blacks (48.7%), Latinos (52.2%) and other (75.0%) race groups. Participants who reported recent use of cocaine (63.9%) or polysubstance use (60.0%) and those who had a positive result for cocaine (62.8%) were more likely to be non‐perfectly adherent, although none of these factors were associated with blister pack adherence. This study showed that the VAS could serve as a reliable option for assessing DAAs adherence among PWID on MOUD. The implementation of VAS may be an ideal option for monitoring adherence among PWID on MOUD, especially in clinical settings with limited resources. PWID on MOUD who are Black or other races than White, as well as those who report recent cocaine or polysubstance use may require additional support to maintain optimal DAA adherence. [ABSTRACT FROM AUTHOR]

Purpose: To evaluate community attitudes concerning opioid use disorder (OUD) and medication for opioid use disorder (MOUD) in a rural community, and to plan educational initiatives to reduce stigma surrounding OUD and treatment. Methods: Dissemination of a 24‐question survey to people living in a rural community followed by comparative analysis of survey results between 2 groups classified by recognition of OUD as a real illness. Findings: Three hundred sixty‐one individuals responded. Overall, 69% agreed that OUD is a real illness. Respondents recognizing OUD as a real illness were less likely to agree that individuals with OUD are dangerous (P =.014), more likely to agree that MOUD is effective (P <.001), that individuals with OUD should have the same right to a job (P <.001), and that naloxone should be administered for every overdose every time (P =.002). Conclusions: Significant stigma exists toward individuals with OUD in rural communities, and recognizing OUD as a real illness is associated with less stigmatizing attitudes and better understanding of MOUD. Further study should focus on how to effectively convince communities that OUD is a real illness. [ABSTRACT FROM AUTHOR]

Objective: The aim of this study was to test the hypothesis that youths with obesity, when removed from structured school activities and confined to their homes during the coronavirus disease 2019 pandemic, will display unfavorable trends in lifestyle behaviors.Methods: The sample included 41 children and adolescents with obesity participating in a longitudinal observational study located in Verona, Italy. Lifestyle information including diet, activity, and sleep behaviors was collected at baseline and 3 weeks into the national lockdown during which home confinement was mandatory. Changes in outcomes over the two study time points were evaluated for significance using paired t tests.Results: There were no changes in reported vegetable intake; fruit intake increased (P = 0.055) during the lockdown. By contrast, potato chip, red meat, and sugary drink intakes increased significantly during the lockdown (P value range, 0.005 to < 0.001). Time spent in sports activities decreased by 2.30 (SD 4.60) h/wk (P = 0.003), and sleep time increased by 0.65 (SD 1.29) h/d (P = 0.003). Screen time increased by 4.85 (SD 2.40) h/d (P < 0.001).Conclusions: Recognizing these adverse collateral effects of the coronavirus disease 2019 pandemic lockdown is critical in avoiding depreciation of weight control efforts among youths afflicted with excess adiposity. Depending on duration, these untoward lockdown effects may have a lasting impact on a child's or adolescent's adult adiposity level. [ABSTRACT FROM AUTHOR]

BACKGROUND: Among adolescents, physical inactivity and unhealthy dietary habits are associated with being obese. We know little about how those are associated with trying to lose weight. METHODS: We analyzed the 2013 Centers for Disease Control and Prevention (CDC) Youth Risk Behavior Surveillance data (N = 13,583) to examine how obesity and trying to lose weight are associated with: (1) <5 physically active days per week with ≥60 minutes physical activity; (2) playing with video computer games ≥3 hours per day on average; (3) no participation in any sports team in the past year; and (4) drinking soda ≥2 times per day. We applied survey logistic regression adjusting for age and Hispanic ethnicity, stratified by sex. RESULTS: Both being obese (13.7%) and trying to lose weight (47.7%) are significantly associated with physical inactivity. Soda drinking was associated with being obese (odds ratio [OR] = 1.34, p =.003 for boys and OR = 1.36, p =.014 for girls); it was inversely associated trying to lose weight among girls (OR = 0.72, p <.001) but not among boys (OR = 1.13, p =.174). CONCLUSION: Obesity was associated with physical inactivity and drinking soda in both sexes. Only girls appeared to avoid drinking soda as a strategy for losing weight. Trying to lose weight was associated with a higher likelihood of physically inactive behaviors both sexes. High schools need to develop collaborative strategies for reducing adolescent obesity and supporting students who are trying to lose weight that address physical inactivity and soda intake. [ABSTRACT FROM AUTHOR]

Objective: Chronic positive energy balance leads to obesity, and the "excess" weight is usually described as consisting solely of adipose tissue (AT) or its two components, fat and fat-free mass (nonfat cell mass, extracellular fluid). This study aimed to clarify the nature of "obesity" tissue.Methods: A total of 333 adults had AT, skin, skeletal muscle, bone, heart, liver, kidney, spleen, brain, and residual mass measured or derived using magnetic resonance imaging and dual-energy x-ray absorptiometry. First, associations between these components and AT were examined by developing multiple regression models. Next, obesity-tissue composition was developed by deriving mean component mass differences between participant groups with normal weight (BMI < 25 kg/m2 ) and those with obesity (BMI > 29.9 kg/m2 ); respective resting energy expenditures and metabolizable energy and protein contents were calculated.Results: AT significantly predicted organ-tissue mass in 17 of 18 multiple regression models. In addition to AT and skeletal muscle, the following associations were found: skin, liver, and bone were main contributors to obesity-tissue composition; liver, kidneys, and heart to resting energy expenditure; and skin, liver, and bone to metabolizable energy and protein contents. A pronounced sexual dimorphism was present in all three models.Conclusions: Obesity is characterized not only by excess AT but by increases in the masses of other "companion" organs and tissues and their related metabolic properties. [ABSTRACT FROM AUTHOR]

Summary: Among the many vascular complications of sickle cell disease (SCD), retinopathy is the most prevalent and represents a leading cause of blindness. Hydroxycarbamide therapy ameliorates many symptoms of SCD, and high fetal haemoglobin (HbF) levels have been shown to protect against the development of retinopathy in children with HbSS. Its effect on adults with SCD, who are at a much higher risk of developing retinopathy, has not been studied. We aimed to investigate the effect of hydroxycarbamide use and HbF level on sickle cell retinopathy development in adults. We performed a retrospective cross‐sectional study and collected demographics, comorbidities, and ocular and haematological data from 300 adult sickle cell subjects examined at the Henkind Eye Institute at Montefiore Medical Center during a 5‐year period, from October 2012 to November 2017. The cohort was comprised mainly of Black and Hispanic subjects with all SCD genotypes, aged 18–71 years. Results show that in HbSS patients treated with hydroxycarbamide, those with retinopathy had significantly lower HbF levels compared to patients without retinopathy (P = 0·018). Our study identified the optimal HbF cut‐off point for retinopathy protection to be 14·87%. Thus, a HbF level of 15% appears to be the threshold above which the odds for developing retinopathy in SS patients are reduced by 50%. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the percentage of body fat (%BF)-BMI relationship, identify %BF levels corresponding to adult BMI cut points, and examine %BF-BMI agreement in a diverse Hispanic/Latino population.Methods: %BF by bioelectrical impedance analysis was corrected against %BF by (18) O dilution in 434 participants of the ancillary Hispanic Community Health Study/Study of Latinos. Corrected %BF was regressed against 1/BMI in the parent study (n = 15,261), fitting models for each age group, by sex, and Hispanic/Latino background; predicted %BF was then computed for each BMI cut point.Results: Bioelectrical impedance analysis underestimated %BF by 8.7 ± 0.3% in women and 4.6 ± 0.3% in men (P < 0.0001). The %BF-BMI relationship was nonlinear and linear for 1/BMI. Sex- and age-specific regression parameters between %BF and 1/BMI were consistent across Hispanic/Latino backgrounds (P > 0.05). The precision of the %BF-1/BMI association weakened with increasing age in men but not women. The proportion of participants classified as nonobese by BMI but as having obesity by %BF was generally higher among women and older adults (16.4% in women vs. 12.0% in men aged 50-74 years).Conclusions: %BF was linearly related to 1/BMI with consistent relationship across Hispanic/Latino backgrounds. BMI cut points consistently underestimated the proportion of Hispanics/Latinos with excess adiposity. [ABSTRACT FROM AUTHOR]

This review identifies 10 common errors and problems in the statistical analysis, design, interpretation, and reporting of obesity research and discuss how they can be avoided. The 10 topics are: 1) misinterpretation of statistical significance, 2) inappropriate testing against baseline values, 3) excessive and undisclosed multiple testing and "P-value hacking," 4) mishandling of clustering in cluster randomized trials, 5) misconceptions about nonparametric tests, 6) mishandling of missing data, 7) miscalculation of effect sizes, 8) ignoring regression to the mean, 9) ignoring confirmation bias, and 10) insufficient statistical reporting. It is hoped that discussion of these errors can improve the quality of obesity research by helping researchers to implement proper statistical practice and to know when to seek the help of a statistician. [ABSTRACT FROM AUTHOR]

ABSTRACT BACKGROUND HealthCorps provides school wellness programming using curricula to promote changes in nutrition, mental health, and physical activity behaviors. The research objective was to evaluate effects of implementing its curricula on nutrition, mental health, and physical activity knowledge and behavior. METHODS Pre- and postsurvey data were collected (N = 2255) during the 2012-2013 academic year from 14 New York City public high schools. An 18-item knowledge questionnaire addressed 3 domains; 26 behavioral items were analyzed by factor analysis to identify 6 behavior domains, breakfast being a seventh 1-item domain. We examined the effects stratified by sex, applying mixed-effects models to take into account clustering effects of schools and participants adjusted for age. RESULTS The HealthCorps program significantly increased all 3 knowledge domains (p < .05), and significantly changed several key behavioral domains. Boys significantly increased fruits/vegetables intake (p = .03). Girls increased acceptance of new fruits/vegetables (p = .03) and breakfast consumption (p = .04), and decreased sugar-sweetened beverages and energy dense food intake (p = .03). The associations between knowledge and behavior were stronger in boys than girls. CONCLUSION The HealthCorps program significantly increased participants' knowledge on nutrition, mental health, and physical activity. It also improved several key behavioral domains, which are targets of the 2010 Dietary Guidelines to address obesity in youth. [ABSTRACT FROM AUTHOR]

ABSTRACT Objectives Adult body mass (MB) empirically scales as height (Ht) squared (MB ∝ Ht2), but does regional body mass and body composition as a whole also scale as Ht2? This question is relevant to a wide range of biological topics, including interpretation of body mass index (BMI). Methods Dual-energy X-ray absorptiometry (DXA) was used to quantify regional body mass [head (MH), trunk, arms, and legs] and whole-body composition [fat, lean soft tissue (LST), and bone mineral content (BMC)] in non-Hispanic (NH) white, NH black, Mexican American, and Korean adults participating in the National Health and Nutrition Examination Survey (NHANES; n = 17,126) and Korean NHANES ( n = 8,942). Regression models were developed to establish Ht scaling powers for each measured component with adjustments for age and adiposity. Results Exploratory analyses revealed a consistent scaling pattern across men and women of the four population groups: regional mass powers, head (∼0.8-1) < arms and trunk (∼1.8-2.3) < legs (∼2.3-2.6); and body composition, LST (∼2.0-2.3) < BMC (∼2.1-2.4). Small sex and population differences in scaling powers were also observed. As body mass scaled uniformly across the eight sex and population groups as Ht∼2, tall and short subjects differed in body shape (e.g., MH/MB ∝ Ht−∼1) and composition. Conclusions Adult human body shape and relative composition are a function of body size as represented by stature, a finding that reveals a previously unrecognized phenotypic heterogeneity as defined by BMI. These observations provide new pathways for exploring mechanisms governing the interrelations between adult stature, body morphology, biomechanics, and metabolism. Am. J. Hum. Biol., 27:372-379, 2015. . [ABSTRACT FROM AUTHOR]

Objective The heritability of food neophobia, the tendency to avoid new foods, was tested in 4-7-year-old twins. We also examined whether food neophobia is associated with parent-child feeding relations or child body fat. Design and Methods 66 same-sex twin pairs, including 37 monozygotic (MZ) and 29 dizygotic (DZ) pairs were studied. Food neophobia was assessed by parent questionnaire (Child Food Neophobia Scale, CFNS), as were child-feeding practices and 'division of responsibility' feeding relations. Child anthropometry and percent body fat were directly measured. Results MZ and DZ twin pair correlations for food neophobia were r = 0.71 and r = −0.01, respectively: heritability= 72%. Greater food neophobia was associated with reduced child eating compliance of prompted foods ( P < 0.001) reduced eating compliance of initially refused foods ( P < 0.001), and - among girls only - fewer parental food demands ( P = 0.01). Interestingly, the correlation between maternal BMI and child BMI z-score was significant only for children high ( P = 0.03), but not low ( P = 0.55), in food neophobia. Conclusion Child food neophobia, a highly heritable trait previously linked to emotionality, was associated with less compliant parent-child feeding relations. Strategies to combat food neophobia and foster more harmonious feeding relationships may have a role in obesity prevention. [ABSTRACT FROM AUTHOR]

Although the influence of body mass index on cancer risk has been intensively investigated, few epidemiologic studies have examined the association of adult height with risk of cancer. We assessed the association of height with risk of all cancer and of 19 site-specific cancers in the Canadian National Breast Screening Study, a prospective cohort of nearly 90,000 women. Weight and height were measured at enrollment, and information on reproductive and medical history as well as lifestyle exposures was obtained by means of questionnaire. After exclusions, 5,679 incident invasive cancers were identified among 88,256 women. We used Cox proportional hazards model to estimate hazard ratios (HRs) and 95% confidence intervals (95% CI) per 10 cm increase in height. All tests of statistical significance were two sided. All cancers combined and ten specific sites (colorectum, colon, premenopausal breast, postmenopausal breast, endometrium, ovary, kidney, thyroid, melanoma and leukemia) showed statistically significant positive associations with height. The HR for all cancers combined was 1.13 (95% CI: 1.08-1.18), and the magnitude of the associations for specific sites ranged from HR 1.11 (95% CI: 1.03-1.20) for postmenopausal breast cancer to HR 1.51 (95% CI: 1.27-1.80) for melanoma. Our study provides strong support for a positive association of adult height with risk of certain cancers. The underlying biological mechanisms are not clear but may differ by anatomic site. [ABSTRACT FROM AUTHOR]

To examine the relationship between obesity and functional impairment and the influence of comorbidity, joint pain, and mental health on this association, we used US adult respondents (N = 430,912) to the 2007 Behavioral Risk Factor Surveillance Survey (BRFSS-07). Functional impairment was indicated if a respondent was either (i) limited in any way or in any activities because of physical, mental, or emotional problems, or (ii) had any health problem that required using special equipment such as a cane, wheelchair, special bed, or special telephone. Approximately 62.8% of respondents were overweight or obese and 20.3% were functionally impaired. The unadjusted relationship between obesity and functional impairment revealed a classical J-shaped pattern with odds ratios (95% confidence interval) compared to the normal weight group: 1.63 (1.54-1.73), 1.22 (1.20-1.25), 1.77 (1.73-1.81), 2.43 (2.36-2.51), and 4.12 (3.97-4.27) for underweight, overweight, obesity class I, II, and III, respectively. Although inclusion of different combinations of sociodemographic and medical covariates substantially attenuated the unadjusted association, the collective inclusion of all covariates in a single model did not eliminate the significant J-shaped association resulting in the following corresponding adjusted odds ratios: 1.19 (1.13-1.25), 1.01 (0.99-1.04), 1.23 (1.19-1.27), 1.38 (1.32-1.44), and 1.92 (1.82-2.02). The attenuation was mostly influenced by medical comorbidity. In conclusion, functional impairment is associated with obesity, primarily due to medical comorbidity conditions. The significant residual association highlights the importance of sustainable obesity prevention and treatment at both the individual and public level as functional impairment can create burdens at individual, familial, and societal levels. [ABSTRACT FROM AUTHOR]

It is often anticipated in a longitudinal cluster randomized clinical trial (cluster-RCT) that the course of outcome over time will diverge between intervention arms. In these situations, testing the significance of a local intervention effect at the end of the trial may be more clinically relevant than evaluating overall mean differences between treatment groups. In this paper, we present a closed-form power function for detecting this local intervention effect based on maximum likelihood estimates from a mixed-effects linear regression model for three-level continuous data. Sample size requirements for the number of units at each data level are derived from the power function. The power function and the corresponding sample size requirements are verified by a simulation study. Importantly, it is shown that sample size requirements computed with the proposed power function are smaller than that required when testing group mean difference using data only at the end of trial and ignoring the course of outcome over the entire study period. Copyright © 2009 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Objective To identify study-level and treatment group-level characteristics that are associated with attrition in antidepressant trials for the depressed elderly. Methods This meta-analysis used 68 published antidepressant randomized trials for the elderly depressed. Study-level and treatment group-level variables were extracted. The former consisted of: use of placebo arm, number of arms, unbalanced treatment allocation, year conducted, study duration, study location, number of centers, and patient pool. The latter consisted of: assigned treatments, baseline mean Hamilton Depression Rating Scale (HDRS), baseline mean age, gender ratio, attrition size, and sample size. Univariate logistic regressions with attrition as the dependent variable were applied, followed by application of a forward stepwise selection method for identification of independent attrition correlates. Results The 68 studies had a total of 153 treatment groups and 8,385 subjects. Among them, 2,287 subjects were terminated early, resulting in an overall 27.3% attrition rate. The stepwise results showed that higher attrition was significantly associated with active antidepressant groups as opposed to placebo groups, higher baseline HDRS, smaller sample size, unbalanced allocation of treatments, longer duration, and studies conducted in USA. Conclusions The attrition in geriatric antidepressant trials can be affected by study and group-level design characteristics that include severity of depression symptoms and active treatments among others. Copyright © 2009 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

In designing a longitudinal cluster randomized clinical trial (cluster-RCT), the interventions are randomly assigned to clusters such as clinics. Subjects within the same clinic will receive the identical intervention. Each will be assessed repeatedly over the course of the study. A mixed-effects linear regression model can be applied in a cluster-RCT with three-level data to test the hypothesis that the intervention groups differ in the course of outcome over time. Using a test statistic based on maximum likelihood estimates, we derived closed-form formulae for statistical power to detect the intervention by time interaction and the sample size requirements for each level. Importantly, the sample size does not depend on correlations among second-level data units and the statistical power function depends on the number of second- and third-level data units through their product. A simulation study confirmed that theoretical power estimates based on the derived formulae are nearly identical to empirical estimates. Copyright © 2009 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Objective To estimate the projected population of US adults aged 18 years or older with lifetime experience of doctor-diagnosed depressive disorder from 2005–2050. Methods Based on nationally representative survey data from the year 2006 Behavioral Risk Factor Surveillance Survey (BRFSS), prevalence estimates of doctor-diagnosed depression (minor or major, and dysthymia) were weighted to incorporate the complex sampling design and increase generalizability of the findings. The weighted prevalence data by age and sex in 2006 were then used to estimate the projected adult population with lifetime experience of depressive disorder based on the sex-specific US Census national population projections from year 2005–2050. Results In year 2006 the (weighted) prevalence of lifetime experience of depressive disorder was 15.7% among 188,292 respondents aged 18 years or older. Female prevalence was 20.6%, which was about twice as high as the prevalence among males (11%). From year 2005–2050, the total number of US adults with depressive disorder will increase from 33.9 million to 45.8 million, a 35% increase. The increase is projected to be greater in the elderly population aged ≥65 years (3.8–8.2, a 117% increase) than in the young population aged <65 years (30.1–37.7, a 25% increase). Conclusions By year 2050, approximately 46 million US adults aged 18 years or older will be diagnosed with a depressive disorder. The increase will be more pronounced in adults aged 65 or older. Prevention, detection, and treatment of depressive disorders might attenuate the magnitude of this estimate. Copyright © 2008 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

OBJECTIVES: To determine whether an educational intervention would improve depression assessment and appropriate referral. Secondary analyses tested whether referral led to depression improvement. DESIGN: Training in the Assessment of Depression (TRIAD) was a three-group, nurse-randomized trial. Researchers interviewed randomly selected patients at baseline and 8 weeks. SETTING: Three certified home healthcare agencies in Westchester County, New York. PARTICIPANTS: Fifty-three medical/surgical nurses were randomized within agency to three intervention groups: full, minimal, or control. Research contact with nurses' patients (aged >65; N=477) yielded 256 (53.7%) enrolled subjects, 84 (17.6%) ineligibles, and 120 (25.2%) refusals; 233 of the 256 (87.1%) enrolled patients completed follow-up interviews. INTERVENTION: Nurse training in clinically meaningful use of depression sections of Medicare's mandatory Outcome and Assessment Information Set (OASIS). MEASUREMENTS: Nurse-assessed mood or anhedonia (OASIS) versus research assessments using the Structured Clinical Interview for Axis I Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition Disorders (SCID); referrals for mental health evaluation (agency records), and depression severity (24-item Hamilton Depression Rating Scale; HDRS). RESULTS: Referral rates for patients with (SCID) depressed mood or anhedonia (n=75) varied according to nurse group: 50.0% full intervention, 18.5% minimal, 21.4% control ( P=.047). Rates for nondepressed patients (n=180) did not differ (4.9%, 2.0%, 5.8%, respectively; P=.60). In patients with major or minor depression (n=37), referral was associated with symptom improvement. Change in HDRS was 5 points greater in referred patients than others ( P=.04). Concordance between OASIS and SCID did not differ between intervention groups. CONCLUSION: TRIAD showed that training nurses to assess for depression using an approach developed in partnership with home healthcare agencies led to appropriate referral and care for depressed patients. [ABSTRACT FROM AUTHOR]

Objectives: Clinicians have suggested that manic psychopathology in adulthood changes with advanced age. We used rating scale evaluations of manic psychopathology in adult patients with bipolar (BP) disorder to test whether older age is associated with scores on items related to excesses of behaviors: i.e., Sexual Interest, Increased Activity-Energy, Speech – Rate and Amount, and Disruptive–Aggressive Behavior. Methods: The association of Young Mania Rating Scale item scores with current age was studied in symptomatic inpatients meeting DSM-IV criteria for BP disorder, manic. Results: The sample consisted of 149 patients ranging in age from 18 to 89 years; 48 of these were male. Age was not associated with differences in overall severity reflected in total score. Age was associated with lower scores on the Sexual Interest item (r = − 0.26, p < 0.001). A trend for higher scores with age on Speech – Rate and Amount (r = 0.19, p < 0.02) did not meet criteria for significance. Increased Activity-Energy, Disruptive–Aggressive Behavior and other item scores were not associated with age. In an exploratory analysis, age and Sexual Interest and Speech item scores were associated in female patients but not in male patients. Conclusions: These findings suggest that age minimally influences manic psychopathology in patients with BP disorder. The modest correlation between age and Sexual Interest item scores warrants further investigation and the trend for an association between age and Speech – Rate and Amount can be examined in future studies. Possible gender differences in the associations between age and these item scores also invite future study. [ABSTRACT FROM AUTHOR]

There are numerous alternatives to the so-called Bonferroni adjustment to control for familywise Type I error among multiple tests. Yet, for the most part, these approaches disregard the correlation among endpoints. This can prove to be a conservative hypothesis testing strategy if the null hypothesis is false. The James procedure was proposed to account for the correlation structure among multiple continuous endpoints. Here, a simulation study evaluates the statistical power of the Hochberg and James adjustment strategies relative to that of the Bonferroni approach when used for multiple correlated binary variables. The simulations demonstrate that relative to the Bonferroni approach, neither alternative sacrifices power. The Hochberg approach has more statistical power for ρ⩽0.50; whereas the James procedure provides more statistical power with higher ρ, the common correlation among the multiple outcomes. A study of gender differences in New York City homicides is used to illustrate the approaches. Copyright © 2007 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

When correlated observations are obtained in a randomized controlled trial, the assumption of independence among observations within cluster likely will not hold because the observations share the same cluster (e.g. clinic, physician, or subject). Further, the outcome measurements of interest are often binary. The objective of this paper is to compare the performance of four statistical methods for analysis of clustered binary observations: namely (1) full likelihood method; (2) penalized quasi-likelihood method; (3) generalized estimating equation method; (4) fixed-effects logistic regression method. The first three methods take correlations into account in inferential processes whereas the last method does not. Type I error rate, power, bias, and standard error are compared across the four statistical methods through computer simulations under varying effect sizes, intraclass correlation coefficients, number of clusters, and number of observations per cluster, including large numbers 20 and 100 of observations per cluster. The results show that the performance of the full likelihood and the penalized quasi-likelihood methods is superior for analysis of clustered binary observations, and is not necessarily inferior to that of the fixed-effects logistic regression fit even when within-cluster correlations are zero. Copyright © 2004 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Summary A footnote in Adolphe Quetelet's classic 1835 Treatise on Man described his algebraic analysis of how body weight (W$$ W $$) varies with height (H$$ H $$) in adult males and females. Using data on 12 short and 12 tall subjects of each sex, Quetelet established the rule that W$$ W $$ is approximately proportional (∝$$ \propto $$) to H2 in adults; that is, W∝H2$$ W\propto {H}^2 $$ when W≈αH2$$ W\approx \alpha {H}^2 $$ for some constant α$$ \alpha $$. Quetelet's Rule (W∝H2$$ W\propto {H}^2 $$), transformed and renamed in the twentieth century to body mass index (BMI=W/H2$$ \mathrm{BMI}=W/{H}^2 $$), is now a globally applied phenotypic descriptor of adiposity at the individual and population level. The journey from footnote to ubiquitous adiposity measure traveled through hundreds of scientific reports and many more lay publications. The recent introduction of highly effective pharmacologic weight loss treatments has heightened scrutiny of BMI's origins and appropriateness as a gateway marker for diagnosing and monitoring people with obesity. This contemporary context prompted the current report that delves into the biological and mathematical paradigms that underlie the simple index BMI=W/H2$$ \mathrm{BMI}=W/{H}^2 $$. Students and practitioners can improve or gain new insights into their understanding of BMI's historical origins and quantitative underpinning from the provided overview, facilitating informed use of BMI and related indices in research and clinical settings. [ABSTRACT FROM AUTHOR]

Summary: Phenotyping adults for excess adiposity and related health risks usually include three body size measurements: height, weight and waist circumference (WC). Height and weight are now widely used as components of the body shape measure, body mass index (BMI, weight/height2), with the height power referred to as the scaling factor, α. At present, WC is usually not adjusted for height or is expressed as WC/height in which α = 1. Although other α values have been proposed, a critical review of these shape measures is lacking. Here, we examine classical pathways by which the scaling exponent for height used in BMI was developed and then apply this strategy to identify the optimum WC index characteristic of adult shape. Our analyses explored anthropometric, body composition and clinically‐relevant data from US and Korean National Health and Nutrition Surveys. Our findings provide further support for the WC index of WC/height0.5 as having the strongest associations with adiposity while having the weakest correlations with height across non‐Hispanic white and black, Mexican American and Korean men and women. The WC index, defined as WC/height0.5, when combined with BMI, can play an important role when phenotyping adults for excess adiposity and associated health risks in research and clinical settings. [ABSTRACT FROM AUTHOR]

Objectives: The scaling of structural components to body size is well studied in mammals, although comparable human observations in a large and diverse sample are lacking. The current study aimed to fill this gap by examining the scaling relationships between total body (TB) and regional bone and skeletal muscle (SM) mass with body size, as defined by stature, in a nationally representative sample of the US population. Methods: Subjects were 17,126 non‐Hispanic (NH) white, NH black, and Mexican American men and women, aged ≥18 years, evaluated in the National Health and Nutrition Examination Survey who had TB and regional bone mineral (BMin) and lean soft tissue (LST) mass measured by dual‐energy X‐ray absorptiometry. BMin and appendicular LST served as surrogate bone and SM mass measures, respectively. The allometric model, BMin or LST = α(height)β, in a logarithmic form was used to generate scaling exponents. Results: The findings were similar across all gender and race groups: body mass scaled to height with powers of ~2.0 (mean β ± SE, 1.94 ± 0.08‐2.29 ± 0.09) while TB and appendicular BMin and appendicular LST scaled to height with consistently larger powers than those for body mass (eg, all P < .05 in NH white men and women); the largest BMin and LST scaling powers to height were observed in the lower extremities. Conclusions: Bone and SM mass, notably those of the lower extremities, increase as proportions of body mass with greater adult height. Metabolic and biomechanical implications emerge from these observations, the first of their kind in a representative adult US population sample. [ABSTRACT FROM AUTHOR]

Despite research and clinical significance, limited information is available on the relations between skeletal muscle (SM) and age in adults, specifically among Hispanics, African Americans (AA), and Asians. The aim was to investigate possible sex and ethnic SM differences in adults over an age range of 60 years. Subjects were 468 male and 1280 female adults (> or =18 years). SM was estimated based on DXA-measured appendicular lean-soft tissue using a previously reported prediction equation. Locally weighted regression smoothing lines were fit to examine SM trends and to localize age cutoffs; piecewise multiple linear regression models were then applied, controlling for weight and height, to identify age cutoffs for sex-specific changes in SM among the ethnic groups. The age of 27 years was identified for women and men as the cut-off after which SM starts to show a negative association with age. Both sexes had a similar ethnic pattern for expected mean SM at the age cutoff, with AA presenting the highest SM values, followed by Whites, Hispanics, and Asians. After the age cutoffs, the lowering of SM differed by ethnicity and sex: AA women showed the greatest SM lowering whereas Hispanic women had the least. Hispanic men tended to show a higher negative association of SM with age followed by AA and Whites. To conclude, significant sex and ethnic differences exist in the magnitude of negative associations of SM with age >27 years. Further studies using a longitudinal design are needed to explore the associations of ethnicity-related decline of SM with health risks., (2009 Wiley-Liss, Inc.)

The independent association of age and other factors with suicidality in patients with major depression with psychotic features was examined. Of the 183 study participants, 21% had a suicide attempt during the current episode. Male gender, Hispanic background, past suicide attempt, higher depression scores, and higher cognitive scores were each independently associated with greater intensity of current suicidality. Older age was independently associated with a lower risk of a lifetime suicide attempt. These findings reinforce the evidence that patients with psychotic depression are at high risk for suicide and underscore the importance of examining correlates of suicidality specific to patients with psychotic depression.

Objective: To estimate the prevalence of US adults with self-reported, doctor-diagnosed arthritis (without specifying the type of rheumatic disease) who are meeting the US Surgeon General's recommendations for physical activity., Methods: Using population-based survey data from the 2001 Behavioral Risk Factor Surveillance Survey, we classified respondents according to their arthritis status and their level of physical activity (i.e., physically inactive, insufficiently active, or meeting recommendations). Prevalence data were weighted to take account of the complex sampling design, and were broken down by a variety of demographic characteristics such as race, education, and body weight., Results: Nearly one-quarter (23%) of US adults reported having doctor-diagnosed arthritis. Among adults with arthritis, 23.8% were physically inactive, 38% reported insufficient levels of physical activity, and 38.3% reported meeting the recommendations for physical activity. The highest prevalence of inactivity in adults with arthritis was found among those subjects with fewer than 8 years of formal education (47.6%), those with 9-11 years of education (35.5%), those who were African American (35.4%), those whose age was > or =65 years (31.1%), and those who were Hispanic (30.4%)., Conclusion: Despite the benefits of physical activity, more than 60% of adults with arthritis do not meet the physical activity recommendations. Efforts should be made to ensure that adults with arthritis are made aware of the benefits of physical activity, and that interventions are prescribed to assist these individuals in becoming more physically active.